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Analysis of Sequence Flight Delay and Propagation Based on the Bayesian Networks

机译:基于贝叶斯网络的序列飞行延迟与传播分析

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Flight delay is becoming more and more serious in air transportation system. This paper attempts to apply the Bayesian Method in the analysis of flight data. It pays much attention to the situation of the same plane in sequence flight. The Bayesian networks for this purpose were constructed using the Netica software package. The sequence flight data analysis is made by the Bayesian Network inference and tested by the real flight data. The result shows, based on probability statistics, the model could better reflect the reason distribution of sequence flight delay and delay propagation state.
机译:航班延误在空运系统中变得越来越严重。本文试图在航班数据分析中应用贝叶斯方法。它对序列飞行中同一飞机的情况进行了很大的关注。使用Netica软件包构建的贝叶斯网络为此目的。序列飞行数据分析由贝叶斯网络推断进行并由实际飞行数据进行测试。结果表明,基于概率统计,该模型可以更好地反映序列飞行延迟和延迟传播状态的原因分布。

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